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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 18730
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    Explanations

    the word "normally" and words related to expected or default behavior

    oai_token-act-pair · gpt-3.5-turbo

    the word "normally" and its variations, indicating a focus on routine or typical behaviors and actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gets
    -0.82
    ged
    -0.69
     Kut
    -0.69
    him
    -0.66
    gie
    -0.64
     Starship
    -0.63
    hip
    -0.63
    oner
    -0.63
    politics
    -0.61
    push
    -0.61
    POSITIVE LOGITS
    llular
    0.93
     exting
    0.81
     behaved
    0.77
     conclud
    0.77
     encountered
    0.76
     speaking
    0.76
     aspir
    0.74
     compr
    0.74
     travelled
    0.73
     inclined
    0.73
    Activations Density 0.007%

    No Known Activations